Graph-theoretical analysis of resting-state fMRI in pediatric obsessive-compulsive disorder
Casey C Armstrong1, Teena D Moody2, Jamie D Feusner2
1Division of Child & Adolescent Psychiatry, UCLA Semel Institute for Neurosciences, 760 Westwood Plaza, Los Angeles, CA 90024-1759, United States.
Background:
fMRI graph theory reveals resting-state brain networks, but has never been used in pediatric OCD.
Methods:
Whole-brain resting-state fMRI was acquired at 3T from 21 children with OCD and 20 age-matched healthy controls. BOLD connectivity was analyzed yielding global and local graph-theory metrics across 100 child-based functional nodes. We also compared local metrics between groups in frontopolar, supplementary motor, and sensorimotor cortices, regions implicated in recent neuroimaging and/or brain stimulation treatment studies in OCD.
Results:
As in adults, the global metric small-worldness was significantly (P<0.05) lower in patients than controls, by 13.5% (%mean difference=100%X(OCD mean - control mean)/control mean). This suggests less efficient information transfer in patients. In addition, modularity was lower in OCD (15.1%, P<0.01), suggesting less granular - or differently organized - functional brain parcellation. Higher clustering coefficients (23.9-32.4%, P<0.05) were observed in patients in frontopolar, supplementary motor, sensorimotor, and cortices with lower betweenness centrality (-63.6%, P<0.01) at one frontopolar site. These findings are consistent with more locally intensive connectivity or less interaction with other brain regions at these sites.
Limitations:
Relatively large node size; relatively small sample size, comorbidities in some patients.
Conclusions:
Pediatric OCD patients demonstrate aberrant global and local resting-state network connectivity topologies compared to healthy children. Local results accord with recent views of OCD as a disorder with sensorimotor component.
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